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- Welcome To Colab - Colab
With Colab you can harness the full power of popular Python libraries to analyze and visualize data The code cell below uses numpy to generate some random data, and uses matplotlib to visualize it
- Colab 시작하기 - Colab - Google Colab
지금 읽고 계신 문서는 정적 웹페이지가 아니라 코드를 작성하고 실행할 수 있는 대화형 환경인 Colab 메모장 입니다 예를 들어 다음은 값을 계산하여 변수로 저장하고 결과를 출력하는 간단한 Python 스크립트가 포함된 코드 셀 입니다
- Colab へようこそ - Colab - Google Colab
Colab（正式名称「Colaboratory」）では、ブラウザ上で Python を記述、実行できます。 以下の機能を使用できます。 環境構築が不要 GPU に料金なしでアクセス 簡単に共有 Colab は、 学生 、 データ サイエンティスト 、 AI リサーチャー の皆さんの作業を効率化し
- Welcome to Colab!
With Colab you can harness the full power of popular Python libraries to analyse and visualise data The code cell below uses numpy to generate some random data, and uses matplotlib to visualise it
- Overview of Colaboratory Features - Colab
Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings As an example, first run the following cell to import the numpy module
- 欢迎使用 Colab - Colab - Google Colab
什么是 Colab？ 借助 Colaboratory（简称 Colab），您可在浏览器中编写和执行 Python 代码，并且： 无论您是一名 学生 、 数据科学家 还是 AI 研究员，Colab 都能够帮助您更轻松地完成工作。
- 歡迎使用 Colab - Colab - Google Colab
Colab 是什麼？ Colab (全名為「Colaboratory」) 可讓你在瀏覽器中編寫及執行 Python 程式碼，並具有以下優點： 不必進行任何設定 免付費使用 GPU 輕鬆共用 無論你是 學生 、 資料科學家 或 AI 研究人員，Colab 都是最佳工作利器。
- Making the Most of your Colab Subscription - Colab
To see end-to-end examples of the interactive machine learning analyses that Colab makes possible, check out these tutorials using models from TensorFlow Hub A few featured examples:
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